The main purpose of this paper was to examine the impact of generative artificial intelligence (AI) on employee well-being and work dynamics. Using qualitative methodology, three semi-structured interviews were conducted to investigate the implications of generative AI on employee outcomes such as efficiency, job satisfaction, ethical considerations, and work-life balance. The findings highlighted the potential benefits and risks associated with generative AI implementation in the workplace. The study contributed to the literature by adopting a qualitative approach, allowing in-depth exploration of individual experiences with generative AI in the workplace. The study discussed the implications for employers, employees, and society.

This study considers the role of leadership within the hospitality sector as a key tool in raising performance levels. Hospitality is unique in its service-based approach, which relies on employees to ensure effective service. Post-COVID-19 and Brexit, the hospitality sector has seen a shift in reliance towards a home workforce, and as such, retention has become an area of greater importance. This case study investigation adopted a qualitative approach to consider the perceptions of six managers within a UK-based luxury hotel. Semi-structured interviews were used to draw out their experience of approaches used to ensure effective delivery in their areas of responsibility. The research concludes that a shift in leadership approach (from autocratic to democratic) is a necessity to retain staff, particularly as the shift to a greater reliance on a home workforce due to COVID-19 and Brexit starts to impact the sector. There does, however, remain a need to be more autocratic in certain situations to ensure the quality of service. Subsequently, communication becomes critical in the building of relationships. The research considers leadership approaches from a managerial perspective and is based on individual perceptions. Traditionally, research has been conducted from an employee perspective.

Purpose: This study focuses on the effects of electronic-Human Resource Management (e-HRM) on organizational consequences. In this analysis, the effects of different configurations are assessed within the same socio-economic context. Design/Methodology: This study adopts a cross-sectional survey of e-HRM actors, such as human resource managers, IT professionals, and line managers. The data analysis was conducted using linear regression. A sample of 300 respondents was selected based on Gill et al.’s framework for obtaining a representative sample. Findings: ‘Integrated e-HRM configurations’ employed in multinational corporations (MNCs) generate positive and improved operational, relational, and transformational consequences or outcomes. In small-to-medium-sized organizations, the operational-user configuration exhibits positive but lower operational, relational, and transformational consequences. However, the socio-economic variables used to categorize e-HRM configurations do not apply in a developing economy context. Practical implications: The application of information technology in HRM is not the sole predictor of organizational consequences. The sophistication of the adopted e-HRM system deserves some consideration too. When managers adopt sophisticated e-HRM systems, they are likely to achieve positive and improved outcomes. More predictor variables need to be uncovered for an elaborate categorization of effective e-HRM configurations. Originality/value: The contextual factors that define effective e-HRM configurations are not consistent across different socio-economic contexts. Company-based categorization of effective configurations is advisable. This study establishes the limitations of current categorization variables in explaining effective e-HRM systems.

The health of employees is so paramount for employee productivity. While emphasis is often placed on the physical health of employees, less emphasis is placed on the psychological or mental health of the employees. Similarly, it seems as if health challenges are more occurring in manufacturing industries, but the service organizations employees are as well susceptible to mental health challenges. Understanding the predictive factors to mental health challenges therefore becomes imperative. It is on this note that the present research examines how employee mental health is predicted by work safety measures like perceived workplace safety, work overload and pay satisfaction. The workplace safety variables include perception of job, co-worker, supervisor, management, and safety programs. A cross sectional survey method was adopted, using ex-post-facto research design. Data were gathered from 258 employees, including 150 (58.1%) females and 108 (41.9%) males of a non-governmental organization. Correlation and regression analyses were used to analyze data obtained from the standardized psychological scales that were administered. The results showed that mental health correlated positively with perceived job safety, but negatively with perceived co-worker, supervisor, management, safety programs and pay satisfaction. Workplace safety variables jointly predicted mental health, accounting for 23% variance, but only perceived job safety and supervisor safety were significant. The higher employees perceived job safety, the lower their mental health challenges. Similarly, the higher they perceived supervisor safety, the lower their mental health issues. Pay satisfaction accounted for 3% variance in mental health, and the higher the pay satisfaction, the lower the level of employee mental health issues. It is implied that the human resource unit of service organizations should intermittently examine their organizations to identify and prevent possible job and supervisor safety threats. Supervisors should be trained on how to be discrete in communicating safety measures to subordinates so that it will not boomerang to hamper mental health. The human resources unit should also intermittently organize workshop, training, and employee-assisted programs for younger and lower grade employees on adaptive mechanisms for reducing mental health challenges.

This issue provides valuable insights and current research topics related to human resource management, with a particular focus on training personnel and their personalities, attitudes toward work, emotions, and mental health.

Job satisfaction is a goal of every organization and human resources department. Many studies have shown the relationship between employee satisfaction as a predictive factor for a variety of key organizational indicators such as employee commitment, employee engagement, productivity, attrition, and turnover. Engaging in well-being activities is one strategy that companies can use to boost employee satisfaction. The term “well-being” activities in Hebrew is a bit different from the common use of the word in the literature. It is a combination of the concepts of Fun Activities, Employee Experience and Perks and Benefits. In High-tech companies, there are many activities aimed at creating a positive employee experience and an attractive organizational culture. These activities include a vast range of activities such as: department events, happy hours, company events, holiday gifts, enrichment activities, sports classes (for example, yoga), and more benefits. Despite the considerable investment in this budget, there are not many studies illustrating the contribution of well-being activities to employee satisfaction and their ROI. The purpose of this study was to examine the relationship between workplace well-being activities and job satisfaction in the Israeli high-tech market. The hypothesis of this study was that there is a positive relationship between well-being activities in the workplace and satisfaction in the workplace, but also to identify which issues within the well-being policy will predict the highest level of employee satisfaction. The study was conducted among 91 employees from a variety of high-tech companies in the Israeli market. The study’s findings supported the hypothesis. Practical suggestions for organizations for the successful implementation of well-being policies are discussed.